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To effectively preserve edges of synthetic aperture radar (SAR) images while cleanly despeckling, an improved bilateral filtering algorithm (IBF) is proposed. A threshold value is first calculated, which is used to distinguish whether the current pixel and its neighbouring pixels are homogeneous or not. Then, bilateral filtering (BF) is improved by reducing its two parameters to one, which emphasises...
To effectively preserve targets such as edges and dots of synthetic aperture radar (SAR) images while cleanly removing noise, a despeckling strategy is proposed. Both despeckling results of bilateral filtering and an improved nonlocal means algorithm (INLMeans) are first utilised to detect targets. Then, the detected targets are removed from the SAR image and INLMeans is employed to denoise the targets-removed...
The electrical activity of the heart shows complex dynamical behavior. This paper presents a nonlinear local projective noise reduction filter for electrocardiograms. In order to automatically detect the best neighborhood size of the projection, recurrence plots are used. The minimum gives a clear indication of the best size of the neighborhood in the embedding space. We also use the box-assisted...
This paper is concerned with a two-time-scale approximation of Wonham filters. A main feature is that the underlying hidden Markov chain has a large state space. To reduce computational complexity, we develop two-time-scale approach. Under time scale separation, we divide the state space of the Markov chain into a number of groups such that the chain jumps rapidly within each group and switches occasionally...
We develop a filtering scheme for hybrid systems with the process dictating the system configuration being a finite-state Markov chain. Exploiting hierarchical structure of the underlying system, the states of the Markov chain are divided into a number of groups so that it jumps rapidly within each group and slowly among different groups. Focusing on reduction of computational complexity, the filtering...
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